huntlam.calib {LinCal} | R Documentation |
Bayesian Classical Linear Calibration Function
Description
huntlam.calib
uses the classical Bayesian approach to estimate an unknown X given observed vector y0 and calculates credible interval estimates.
Usage
huntlam.calib(x, y, alpha, y0)
Arguments
x |
numerical vector of regressor measurments |
y |
numerical vector of observation measurements |
alpha |
the confidence interval to be calculated |
y0 |
vector of observed calibration value |
References
Hunter, W., and Lamboy, W. (1981). A Bayesian Analysis of the Linear Calibration Problem. Technometrics. 3, 323-328.
Examples
X <- c(1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10)
Y <- c(1.8,1.6,3.1,2.6,3.6,3.4,4.9,4.2,6.0,5.9,6.8,6.9,8.2,7.3,8.8,8.5,9.5,9.5,10.6,10.6)
huntlam.calib(X,Y,0.05,6)
[Package LinCal version 1.0.1 Index]